Delete app.py

app.py

@@ -1,36 +0,0 @@
-import streamlit as st
-import requests
-
-# Set the model ID of your fine-tuned model on Hugging Face
-MODEL_ID = "Mishal23/fine-tuned-dialoGPT-crm-chatbot"  # Your model ID
-
-# Function to generate a response from the chatbot using the Hugging Face API
-def generate_response(prompt):
-    # Use the secret token safely
-    headers = {"Authorization": f"Bearer {st.secrets['project01']['hf_token']}"}
-    payload = {"inputs": prompt}
-    
-    try:
-        # Correctly formatted API URL
-        response = requests.post(f"https://api-inference.huggingface.co/models/{MODEL_ID}", headers=headers, json=payload)
-        response.raise_for_status()  # Raise an error for bad responses
-        return response.json()[0]['generated_text']
-    except Exception as e:
-        st.error(f"Error generating response: {e}")
-        return "Sorry, I couldn't generate a response."
-
-# Streamlit UI setup
-st.title("Chatbot Powered by Hugging Face")
-st.subheader("Talk to the Chatbot")
-
-# User input
-user_input = st.text_input("You: ", "")
-
-# Button to submit the input
-if st.button("Send"):
-    if user_input:
-        with st.spinner("Generating response..."):
-            bot_response = generate_response(user_input)
-            st.text_area("Chatbot:", value=bot_response, height=200)
-    else:
-        st.warning("Please enter a message before sending.")